{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ip_proto</th>\n",
       "      <th>flow_duration_sec</th>\n",
       "      <th>idle_timeout</th>\n",
       "      <th>hard_timeout</th>\n",
       "      <th>packet_count</th>\n",
       "      <th>packet_count_per_second</th>\n",
       "      <th>byte_count</th>\n",
       "      <th>byte_count_per_second</th>\n",
       "      <th>entro_val</th>\n",
       "      <th>type</th>\n",
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       "      <td>20</td>\n",
       "      <td>100</td>\n",
       "      <td>41</td>\n",
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       "      <td>4018</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>425234 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        ip_proto  flow_duration_sec  idle_timeout  hard_timeout  packet_count  \\\n",
       "0              1                  1            20           100             1   \n",
       "1              1                  1            20           100             1   \n",
       "2             17                  2            20           100           193   \n",
       "3              1                  2            20           100             0   \n",
       "4              1                  1            20           100             1   \n",
       "...          ...                ...           ...           ...           ...   \n",
       "425229         1                 54            20           100            41   \n",
       "425230         1                 94            20           100            85   \n",
       "425231         1                 94            20           100            85   \n",
       "425232         1                 54            20           100            41   \n",
       "425233         1                 54            20           100            41   \n",
       "\n",
       "        packet_count_per_second  byte_count  byte_count_per_second  entro_val  \\\n",
       "0                      1.000000          98              98.000000   1.000000   \n",
       "1                      1.000000          98              98.000000   1.000000   \n",
       "2                     96.500000      291816          145908.000000   1.000000   \n",
       "3                      0.000000           0               0.000000   1.000000   \n",
       "4                      1.000000          98              98.000000   1.000000   \n",
       "...                         ...         ...                    ...        ...   \n",
       "425229                 0.759259        4018              74.407407   1.719973   \n",
       "425230                 0.904255        8330              88.617021   1.719973   \n",
       "425231                 0.904255        8330              88.617021   1.719973   \n",
       "425232                 0.759259        4018              74.407407   1.719973   \n",
       "425233                 0.759259        4018              74.407407   1.500000   \n",
       "\n",
       "        type  \n",
       "0          0  \n",
       "1          0  \n",
       "2          0  \n",
       "3          0  \n",
       "4          0  \n",
       "...      ...  \n",
       "425229     0  \n",
       "425230     0  \n",
       "425231     0  \n",
       "425232     0  \n",
       "425233     0  \n",
       "\n",
       "[425234 rows x 10 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('../data/flow_stat.csv', names=['ip_proto', 'flow_duration_sec', 'idle_timeout', 'hard_timeout', \n",
    "                                                   'packet_count', 'packet_count_per_second', 'byte_count', 'byte_count_per_second',\n",
    "                                                  'entro_val', 'type'])\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "value = np.array( data[data['type'] == 0].loc[:, 'entro_val'] )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\envs\\newpy\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x1c1c3c68b08>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(dpi=200)\n",
    "\n",
    "ax = sns.distplot(value)\n",
    "\n",
    "plt.title('Entropy Distribution Histogram')\n",
    "plt.xlabel('Entropy Value')\n",
    "\n",
    "plt.axvline(1.3, color='black', linestyle='-.', lw=0.5)\n",
    "plt.axvline(2.3, color='black', linestyle='-.', lw=0.5)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\envs\\newpy\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "value2 = np.array( data[data['type'] == 1].sample(frac=0.3).loc[:, 'entro_val'] )\n",
    "\n",
    "plt.figure(dpi=200)\n",
    "\n",
    "ax = sns.distplot(value2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:newpy]",
   "language": "python",
   "name": "conda-env-newpy-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
